> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-home-button.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> RocketBI is a self-service business intelligence platform that helps you quickly analyze data, build drag-n-drop visualizations and collaborate with colleagues right on your web browser.

# Goal: build your first dashboard with Rocket.BI

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In this guide, you will install and build a simple dashboard using Rocket.BI .
This is the dashboard:

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_01.gif?s=7b11f13f19fbcfdecdf22de78642b4cc" alt="Rocket BI dashboard showing sales metrics with charts and KPIs" border width="1200" height="651" data-path="images/integrations/data-visualization/rocketbi_01.gif" />

<br />

You can checkout [the Dashboard via this link.](https://demo.rocket.bi/dashboard/sales-dashboard-7?token=7eecf750-cbde-4c53-8fa8-8b905fec667e)

<h2 id="install">
  Install
</h2>

Start RocketBI with our pre-built docker images.

Get docker-compose.yml and configuration file:

```bash theme={null}
wget https://raw.githubusercontent.com/datainsider-co/rocket-bi/main/docker/docker-compose.yml
wget https://raw.githubusercontent.com/datainsider-co/rocket-bi/main/docker/.clickhouse.env
```

Edit .clickhouse.env, add clickhouse server information.

Start RocketBI by run command: `docker-compose up -d .`

Open browser, go to `localhost:5050`, login with this account: `hello@gmail.com/123456`

To build from source or advanced configuration you could check it here [Rocket.BI Readme](https://github.com/datainsider-co/rocket-bi/blob/main/README.md)

<h2 id="lets-build-the-dashboard">
  Let's build the dashboard
</h2>

In Dashboard, you will find your reportings, start visualization by clicking **+New**

You can build **unlimited dashboards** & draw **unlimited charts** in a dashboard.

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_02.gif?s=01eda82e51fa011f0b20bf39bc83ebbf" alt="Animation showing the process of creating a new chart in Rocket BI" border width="800" height="434" data-path="images/integrations/data-visualization/rocketbi_02.gif" />

<br />

See hi-res tutorial on Youtube: [https://www.youtube.com/watch?v=TMkdMHHfvqY](https://www.youtube.com/watch?v=TMkdMHHfvqY)

<h3 id="build-the-chart-controls">
  Build the chart controls
</h3>

<h4 id="create-a-metrics-control">
  Create a metrics control
</h4>

In the Tab filter, select metric fields you want to use. Make sure to keep check on aggregation setting.

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_03.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=3e8b7e659a89015a3c2efdfb22bcad96" alt="Rocket BI metrics control configuration panel showing selected fields and aggregation settings" border width="1646" height="863" data-path="images/integrations/data-visualization/rocketbi_03.png" />

<br />

Rename filters & Save Control to Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_04.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=d3f1b5fe6ba64b5a50f8b1e43553c624" alt="Metrics control with renamed filters ready to save to dashboard" border width="1156" height="138" data-path="images/integrations/data-visualization/rocketbi_04.png" />

<h4 id="create-a-date-type-control">
  Create a date type control
</h4>

Choose a Date field as Main Date column:

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_05.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=18d5bd1912480daac85153dede1e1354" alt="Date field selection interface in Rocket BI showing available date columns" border width="1646" height="863" data-path="images/integrations/data-visualization/rocketbi_05.png" />

<br />

Add duplicate variants with different lookup ranges. For example, Year, Monthly, Daily date or Day of Week.

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_06.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=cc44a2b854fc17a2fb249c787985a52f" alt="Date range configuration showing different time period options like year, month, and day" border width="1646" height="863" data-path="images/integrations/data-visualization/rocketbi_06.png" />

<br />

Rename filters & Save Control to Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_07.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=38aa7cd5ceb5b2ca675fe7b4ac12ae92" alt="Date range control with renamed filters ready to save to dashboard" border width="346" height="444" data-path="images/integrations/data-visualization/rocketbi_07.png" />

<h3 id="now-let-build-the-charts">
  Now, let build the Charts
</h3>

<h4 id="pie-chart-sales-metrics-by-regions">
  Pie chart: sales metrics by regions
</h4>

Choose Adding new chart, then Select Pie Chart

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_08.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=56f80fe11f05d8b1049788ae9c8c71de" alt="Chart type selection panel with pie chart option highlighted" border width="1860" height="1312" data-path="images/integrations/data-visualization/rocketbi_08.png" />

<br />

First Drag & Drop the column "Region" from the Dataset to Legend Field

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_09.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=5763d3eac89b68328bd9a5d29120a7e0" alt="Drag and drop interface showing Region column being added to legend field" border width="2562" height="1486" data-path="images/integrations/data-visualization/rocketbi_09.png" />

<br />

Then, change to Chart Control Tab

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_10.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=e7f001e3c91ee5262a66d3d73ab99056" alt="Chart control tab interface showing visualization configuration options" border width="1420" height="918" data-path="images/integrations/data-visualization/rocketbi_10.png" />

<br />

Drag & Drop the Metrics Control into Value Field

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_11.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=8d09bae4567c2554875ce8c490102a4c" alt="Metrics control being added to the value field of the pie chart" border width="2532" height="1484" data-path="images/integrations/data-visualization/rocketbi_11.png" />

<br />

(you can also use Metrics Control as Sorting)

Navigate to Chart Setting for further customization

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_12.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=455e7f2fa5e79e8391c3a743100df40d" alt="Chart settings panel showing customization options for the pie chart" border width="1130" height="806" data-path="images/integrations/data-visualization/rocketbi_12.png" />

<br />

For example, change Data label to Percentage

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_13.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=d41e35eabc0da39cec1e2f25caceb896" alt="Data label settings being changed to show percentages on the pie chart" border width="2534" height="1468" data-path="images/integrations/data-visualization/rocketbi_13.png" />

<br />

Save & Add the Chart to Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_14.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=1a5d95dd82af3e313d3574a791663fdd" alt="Dashboard view showing the newly added pie chart with other controls" border width="1566" height="1056" data-path="images/integrations/data-visualization/rocketbi_14.png" />

<h4 id="use-date-control-in-a-time-series-chart">
  Use date control in a time-series chart
</h4>

Let Use a Stacked Column Chart

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_15.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=8d03314b280a822e8fa6fc998b228cca" alt="Stacked column chart creation interface with time-series data" border width="1836" height="1332" data-path="images/integrations/data-visualization/rocketbi_15.png" />

<br />

In Chart Control, use Metrics Control as Y-axis & Date Range as X-axis

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_16.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=40f4da123d8d1320965ece0a4ea0b3d9" alt="Chart control configuration showing metrics on Y-axis and date range on X-axis" border width="2552" height="1496" data-path="images/integrations/data-visualization/rocketbi_16.png" />

<br />

Add Region column in to Breakdown

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_17.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=c838a9d4806b1a6f233b65099d901985" alt="Region column being added as breakdown dimension in the stacked column chart" border width="2552" height="1496" data-path="images/integrations/data-visualization/rocketbi_17.png" />

<br />

Adding Number Chart as KPIs & glare-up the Dashboard

<Image size="md" img="https://mintcdn.com/private-7c7dfe99-home-button/8vRlAzTPu3QtBgl8/images/integrations/data-visualization/rocketbi_18.png?fit=max&auto=format&n=8vRlAzTPu3QtBgl8&q=85&s=0de1f78d7d575be89b682ae79b4dda7c" alt="Complete dashboard with KPI number charts, pie chart, and time-series visualization" border width="2788" height="1506" data-path="images/integrations/data-visualization/rocketbi_18.png" />

<br />

Now, you had successfully build your 1st dashboard with rocket.BI
